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Apple Data Architect 
China, Beijing, Beijing 
915942968

Yesterday
Responsible for the planning and construction of enterprise platform’s data, data products, and provide decision-making basis for strategic and business decisions.Develop and define data quality, data model, data security and other big data related standards per business requirements, plus drive and secure the implementation of all the above.Define data definition, usage and ensure the data quality cross multiple platforms per business requirements. Coordinated with the business team and vendors to plan data application architecture design, data field model construction, and drive the implementation of all the above. Responsible for big data application planning, providing guidance to the business team and vendors. Responsible for the research and implementation of innovative technologies in the fields of data platform and large-scale distributed system.
  • Computer science and related major, have 8+ years of big data industry related experience, 5+ years of big data architecture design experience.
  • Familiar with Hadoop, Spark, Flink, Kafka, HDFS, Hive, Druid and other mainstream big data system principles and source code, familiar with at least one of databases,such as MySQL, PostgreSQL, NoSQL (1/3)and others
  • Have a deep understanding and practical experience in data acquisition, data development, data analysis, data modeling, algorithms, etc. and have the ability of large-scale system fault diagnosis and performance optimization
  • Have deep thinking and long-term product and technology vision in big data architecture, products and technology, and have clear and mature ideas for the evolution of technology architecture.
  • Proficient in java or Python, familiar with Spring Cloud and other micro-service frameworks, and have accumulated and practical experience in container/micro-service, middleware, open source big data and other technologies
  • Familiar with common Internet, big data, cloud computing, artificial intelligence and other technologies and knowledge, with Internet data center, technology center construction and other technical background is preferred
  • Have good business analysis ability, business and technical program planning and design ability, and strong logical thinking ability